On the state definition for a trainable excitation model in HMM-based speech synthesis

Ranniery Maia, Tomoki Toda, Keiichi Tokuda, Shinichi Sakai, Shun Nakamura. On the state definition for a trainable excitation model in HMM-based speech synthesis. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA. pages 3965-3968, IEEE, 2008. [doi]

Abstract

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